The task consists in classifying the emotion expressed in a tweet as one among the following emotion classes:
- Anger (also includes annoyance and rage)
- Disgust (also includes disinterest, dislike, and loathing)
- Fear (also includes apprehension, anxiety, concern, and terror)
- Joy (also includes serenity and ecstasy)
- Sadness (also includes pensiveness and grief)
- Surprise (also includes distraction and amazement)
- Others: the emotion expressed in a tweet is neutral or there is no emotion
Publication
Flor Miriam Plaza-del-Arco, Salud María Jiménez-Zafra, Arturo Montejo-Ráez, M. Dolores Molina-González, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia (2021) Overview of the EmoEvalEs task on emotion detection for Spanish at IberLEF 2021. rocesamiento del Lenguaje Natural, Revista nº 67, septiembre de 2021, pp. 155-161
Competition
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2021
Publication link
Ranking metric
Accuracy
Task results
| System | Accuracy Sort ascending | MacroPrecision | MacroRecall | MacroF1 |
|---|---|---|---|---|
| GSI-UPM | 0.7277 | 0.7094 | 0.7277 | 0.7170 |
| BERT4EVER | 0.7222 | 0.7047 | 0.7222 | 0.7114 |
| Yeti | 0.7126 | 0.7050 | 0.7126 | 0.7054 |
| URJC-TEAM | 0.7029 | 0.6924 | 0.7029 | 0.6967 |
| haha | 0.6920 | 0.6796 | 0.6920 | 0.6637 |
